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Fast memcpy, A System Design

ACM Sigarch

We look here at a Gedankenexperiment: move 16 bytes per cycle , addressing not just the CPU movement, but also the surrounding system design. A lesser design cannot possibly move 16 bytes per cycle. This base design can map easily onto many current chips. Cache pollution is addressed in a section below.). byte loads.

Design 145
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Redis vs Memcached in 2024

Scalegrid

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load.

Cache 130
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Geek Reading - Week of June 5, 2013

DZone

These items are a combination of tech business news, development news and programming tools and techniques. Simpler UI Testing with CasperJS ( Architects Zone – Architectural Design Patterns & Best Practices). Using MongoDB as a cache store ( Architects Zone – Architectural Design Patterns & Best Practices).

Java 244
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ABAC on SpiceDB: Enabling Netflix’s Complex Identity Types

The Netflix TechBlog

To do so Netflix’s design required: An event based mechanism that could ingest information about application autoscaling groups. What was problematic about this design? Over time, each node caches a subset of subproblems to support a distributed cache, reduce the datastore load, and achieve SpiceDB’s horizontal scalability.

Cache 249
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Helping VFX studios pave a path to the cloud

The Netflix TechBlog

Every VFX studio has a slightly different architecture and workflow, and a one-size-fits-all solution often isn’t enough to bridge the gap. This program is just one example of the many ways Netflix strives to entertain the world. Rendering on AWS provides the flexibility to control how quickly a project is completed.

Cloud 282
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Supercomputing Predictions: Custom CPUs, CXL3.0, and Petalith Architectures

Adrian Cockcroft

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0 Next generation architectures will use CXL3.0

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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. These include application programming interfaces, streaming, and more.